testing-setup

An Android testing strategy spans unit, UI behavior, screenshot, and end-to-end coverage by analyzing project dependencies, selecting frameworks like JUnit and Robolectric, and defining where each test type lives. You get an actionable Markdown report with stepwise plans for ViewModels, repositories, and complex UI flows.

Configuring Compose UI tests and Espresso involves adding or aligning testing dependencies, configuring test runners, and guiding testability refactors to introduce fakes and DI wiring. This enables testing Compose semantics matchers, state restoration, and UI behavior without relying on hard-to-test platform components.

Robolectric works with screenshot testing tools like Roborazzi or Dropshots by enabling host-based or device-based screenshot reference generation. The testing setup adds the necessary dependencies and provides a stepwise plan for both Robolectric-based behavior tests and instrumented screenshot tests.

Adding Jacoco code coverage reporting to Android test infrastructure involves aligning build files with Jacoco dependencies and defining coverage expectations across unit, UI, and end-to-end tests. The setup ensures coverage metrics are collected and reported alongside the actionable Markdown testing strategy report.

UI Automator can be used for end-to-end testing in a native Android app by adding the E2E runner as a dependency and defining release candidate journeys. The testing strategy report outlines where these device-based E2E tests live and how they validate complex flows across the application.

You should refactor ViewModels and repositories for testability when they rely on hard-to-test platform components, preventing reliable unit and UI behavior tests. Introducing fakes and dependency injection wiring allows you to test complex UI flows and state management without actual platform dependencies.